Publication detail

Speech production under stress for machine learning: multimodal dataset of 79 cases and 8 signals

PEŠÁN, J. JUŘÍK, V. RŮŽIČKOVÁ, A. SVOBODA, V. JANOUŠEK, O. NĚMCOVÁ, A. BOJANOVSKÁ, H. ALDABAGHOVÁ, J. KYSLÍK, F. VODIČKOVÁ, K. SODOMOVÁ, A. BARTYS, P. CHUDÝ, P. ČERNOCKÝ, J.

Original Title

Speech production under stress for machine learning: multimodal dataset of 79 cases and 8 signals

Type

journal article in Web of Science

Language

English

Original Abstract

Early identification of cognitive or physical overload is critical in fields where human decision making matters when preventing threats to safety and property. Pilots, drivers, surgeons, and operators of nuclear plants are among those affected by this challenge, as acute stress can impair their cognition. In this context, the significance of paralinguistic automatic speech processing increases for early stress detection. The intensity, intonation, and cadence of an utterance are examples of paralinguistic traits that determine the meaning of a sentence and are often lost in the verbatim transcript. To address this issue, tools are being developed to recognize paralinguistic traits effectively. However, a data bottleneck still exists in the training of paralinguistic speech traits, and the lack of high-quality reference data for the training of artificial systems persists. Regarding this, we present an original empirical dataset collected using the BESST experimental protocol for capturing speech signals under induced stress. With this data, our aim is to promote the development of pre-emptive intervention systems based on stress estimation from speech.

Keywords

speech, stress, machine learning

Authors

PEŠÁN, J.; JUŘÍK, V.; RŮŽIČKOVÁ, A.; SVOBODA, V.; JANOUŠEK, O.; NĚMCOVÁ, A.; BOJANOVSKÁ, H.; ALDABAGHOVÁ, J.; KYSLÍK, F.; VODIČKOVÁ, K.; SODOMOVÁ, A.; BARTYS, P.; CHUDÝ, P.; ČERNOCKÝ, J.

Released

12. 11. 2024

ISBN

2052-4463

Periodical

Scientific data

Year of study

11

Number

1

State

United Kingdom of Great Britain and Northern Ireland

Pages from

1

Pages to

9

Pages count

9

URL

https://www.nature.com/articles/s41597-024-03991-w

BibTex

@article{BUT193434,
  author="Jan {Pešán} and Vojtěch {Juřík} and Alexandra {Růžičková} and Vojtěch {Svoboda} and Oto {Janoušek} and Andrea {Němcová} and Hana {Bojanovská} and Jasmína {Aldabaghová} and Filip {Kyslík} and Kateřina {Vodičková} and Adéla {Sodomová} and Patrik {Bartys} and Peter {Chudý} and Jan {Černocký}",
  title="Speech production under stress for machine learning: multimodal dataset of 79 cases and 8 signals",
  journal="Scientific data",
  year="2024",
  volume="11",
  number="1",
  pages="1--9",
  doi="10.1038/s41597-024-03991-w",
  issn="2052-4463",
  url="https://www.nature.com/articles/s41597-024-03991-w"
}

Documents

pesan_sci data_2024_s41597-024-03991-w.pdf